Applied AI Engineer

Caivex, Inc.; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity considered for founding roles

Job summary

Caivex, Inc. seeks a role focused on integrating reliable AI capabilities into researchers’ and operators’ workflows. You will build evaluation-backed features for research and qualification processes, ensuring outputs are reviewable and recoverable within live systems.

You will collaborate with operators to turn recurring judgments into practical tools while improving observability, cost controls, and recovery in AI-assisted runs.

Qualifications

• Experience shipping AI products or systems in production.
• Comfort evaluating model behavior with real operational data.
• Strong software engineering fundamentals and an appetite for close user feedback.
• Sound judgment about where automation needs a clear human decision.

Responsibilities

• Build evaluation-backed AI features for research and qualification workflows.
• Design review paths for uncertain outputs and preserve evidence behind decisions.
• Partner with operators to turn recurring judgment calls into practical tools.
• Improve observability, cost controls, and recovery behavior for AI-assisted runs.

Skills

AI product experience

Production AI systems

Model evaluation with real data

Software engineering fundamentals

User feedback oriented

Job description

Put reliable AI capabilities into the systems operators use to research, qualify, and contact creators.

Why this role exists.

Make AI-assisted decisions more useful, measurable, and recoverable in the workflows that create qualified creator meetings.

Responsibilities

What you will own.

• Build evaluation-backed AI features for research and qualification workflows
• Design review paths for uncertain outputs and preserve the evidence behind decisions
• Partner with operators to turn recurring judgment calls into practical tools
• Improve observability, cost controls, and recovery behavior for AI-assisted runs

What you bring.

• Experience shipping AI products or systems used in production
• Comfort evaluating model behavior with real operational data
• Strong software-engineering fundamentals and an appetite for close user feedback
• Sound judgment about where automation needs a clear human decision

Your first 90 days

Learn the work. Improve the work.

1. Learn the current research, qualification, and review workflows
2. Ship one evaluation-backed improvement to an active operator workflow
3. Make the evidence, failure modes, and next iteration clear to the team

Working style

You will work at the boundary between model behavior and operational reality. The role needs careful engineering, direct communication, and a preference for systems people can inspect and improve.

Close to the work.

You will work at the boundary between model behavior and operational reality. The role needs careful engineering, direct communication, and a preference for systems people can inspect and improve.

Where and how we work.

Location Global Remote

• Equity Equity considered for founding roles; scope and terms discussed during the process.